International Journal of Networked and Distributed Computing

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Volume 6, Issue 2, April 2018, Pages 78 - 87

Implementation of Emotional Features on Satire Detection

Authors
Pyae Phyo Thu1, pyaephyothu149@gmail.com, Than Nwe Aung2, mdytna@gmail.com
1University of Computer Studies, Mandalay, Patheingyi, Mandalay 1001, Myanmar
2University of Computer Studies, Mandalay, Patheingyi, Mandalay 1001, Myanmar
Available Online 30 April 2018.
DOI
10.2991/ijndc.2018.6.2.3How to use a DOI?
Keywords
Satire Detection; Figurative Language Processing; Emotion-Based Features; Ensemble Bagging
Abstract

Recognition of satirical language in social multimedia outlets turns out to be a trending research area in computational linguistics. Many researchers have analyzed satirical language from the various point of views: lexically, syntactically, and semantically. However, due to the ironic dimension of emotion embedded in the language, emotional study of satirical language has ever left behind. This paper proposes the emotion-based detection system for satirical figurative language processing. These emotional features are extracted using emotion lexicon: EmoLex and sentiment lexicon: VADER. Ensemble bagging technique is used to tackle the problem of ambiguous nature of emotion. Experiments are carried out on both short text and long text configurations namely news articles, Amazon product reviews, and tweets. Recognition of satirical language can aid in lessening the impact of implicit language in public opinion mining, sentiment analysis, fake news detection and cyberbullying.

Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
6 - 2
Pages
78 - 87
Publication Date
2018/04/30
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2018.6.2.3How to use a DOI?
Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Pyae Phyo Thu
AU  - Than Nwe Aung
PY  - 2018
DA  - 2018/04/30
TI  - Implementation of Emotional Features on Satire Detection
JO  - International Journal of Networked and Distributed Computing
SP  - 78
EP  - 87
VL  - 6
IS  - 2
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2018.6.2.3
DO  - 10.2991/ijndc.2018.6.2.3
ID  - Thu2018
ER  -